DeepSeek modelo

DeepSeek V4 Pro

DeepSeek: DeepSeek V4 Pro Compara precios API, proveedor, longitud de contexto, capacidades, casos de uso, latencia y alternativas. Chinese Q&A, general chat. $0.082 / 1M tokens / $0.165 / 1M tokens. 1M tokens.

DeepSeekPlatform curatedCatalog
StreamingTool callingJSON modeLong context
Precio entrada$0.082 / 1M tokens
Precio salida$0.165 / 1M tokens
Longitud de contexto1M tokens
Salida maxima8.2k tokens

Que es DeepSeek V4 Pro en NextModel?

DeepSeek: DeepSeek V4 Pro Compara precios API, proveedor, longitud de contexto, capacidades, casos de uso, latencia y alternativas. Chinese Q&A, general chat. $0.082 / 1M tokens / $0.165 / 1M tokens. 1M tokens.

Mejores casos de uso

  • Chinese Q&A
  • general chat

Ejemplo compatible con OpenAI

Mantén el estilo del SDK de OpenAI, apunta base_url a NextModel y usa el ID de catalogo deepseek--deepseek-v4-pro.

Python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.nextmodel.app/v1"
)

resp = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[{"role": "user", "content": "Hello from NextModel"}]
)

print(resp.choices[0].message.content)

Alternativas similares

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DeepSeekCatalog

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

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DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

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FAQ

DeepSeek: DeepSeek V4 Pro FAQ